On exploiting dynamic execution patterns for workload offloading in mobile cloud applications

Wei Gao, Yong Li, Haoyang Lu, Ting Wang, Cong Liu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

17 Scopus citations

Abstract

Mobile Cloud Computing (MCC) bridges the gap between limited capabilities of mobile devices and the increasing users' demand of mobile multimedia applications, by offloading the computational workloads from local devices to the remote cloud. Current MCC research focuses on making offloading decisions over different methods of a MCC application, but may inappropriately increase the energy consumption if having transmitted a large amount of program states over expensive wireless channels. Limited research has been done on avoiding such energy waste by exploiting the dynamic patterns of applications' run-time execution for workload offloading. In this paper, we adaptively offload the local computational workload with respect to the run-time application dynamics. Our basic idea is to formulate the dynamic executions of user applications using a semi-Markov model, and to further make offloading decisions based on probabilistic estimations of the offloading operation's energy saving. Such estimation is motivated by experimental investigations over practical smart phone applications, and then builds on analytical modeling of methods' execution times and offloading expenses. Systematic evaluations show that our scheme significantly improves the efficiency of workload offloading compared to existing schemes over various smart phone applications.

Original languageEnglish (US)
Title of host publicationProceedings - IEEE 22nd International
PublisherIEEE Computer Society
Pages1-12
Number of pages12
ISBN (Electronic)9781479962044
DOIs
Publication statusPublished - Dec 9 2014
Event22nd IEEE International Conference on Network Protocols, ICNP 2014 - Research Triangle, United States
Duration: Oct 21 2014Oct 24 2014

Publication series

NameProceedings - International Conference on Network Protocols, ICNP
ISSN (Print)1092-1648

Conference

Conference22nd IEEE International Conference on Network Protocols, ICNP 2014
CountryUnited States
CityResearch Triangle
Period10/21/1410/24/14

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All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Software

Cite this

Gao, W., Li, Y., Lu, H., Wang, T., & Liu, C. (2014). On exploiting dynamic execution patterns for workload offloading in mobile cloud applications. In Proceedings - IEEE 22nd International (pp. 1-12). [6980361] (Proceedings - International Conference on Network Protocols, ICNP). IEEE Computer Society. https://doi.org/10.1109/ICNP.2014.22